Revenue in the Processed Fish & Seafood segment amounts to CN¥33,926m in 2020. The market is expected to grow annually by 3.4% (CAGR 2020-2025).

In global comparison, most revenue is generated in China (CN¥183,664m in 2020).

In relation to total population figures, per person revenues of CN¥102.49 are generated in 2020.

The average per capita consumption stands at 1.2 kg in 2020.

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The Processed Fish and Seafood segment includes all types of canned, dried, or smoked fish and seafood products (except fish and seafood-based, ready-to-eat meals contained within the Convenience Food segment).

Revenue
Revenue Growth

in the Processed Fish & Seafood market
in million CN¥
in percent

Reading Support
Revenue in the Processed Fish & Seafood segment amounts to CN¥33,926m in 2020.
Reading Support
The Processed Fish & Seafood segment is expected to show a revenue growth of 1.5% in 2021.

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Revenue

Revenue Growth

Info

Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) in million US dollars for each year.

Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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Average Revenue per Capita

in the Processed Fish & Seafood market
in CN¥

Reading Support
The average revenue per person in the Processed Fish & Seafood segment amounts to CN¥102.49 in 2020.

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Info

Average Revenue per Capita:

The "Average Revenue per Capita" box shows the average market value of the selected market (market segment, region) per person in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Volume
Volume Growth

in the Processed Fish & Seafood market
in million kilograms
in percent

Reading Support
In the Processed Fish & Seafood segment, volume is expected to amount to 453.0 mkg by 2025.
Reading Support
The Processed Fish & Seafood segment is expected to show a volume growth of 0.6% in 2021.

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Volume

Volume Growth

Info

Volume:

The “Volume” box shows the apparent consumption of the selected product (market segment, region) in millions for each year.

A definition and detailed explanation of the displayed markets can be found here.
×

Average Volume per Capita

in the Processed Fish & Seafood market
in kilograms

Reading Support
The average volume per person in the Processed Fish & Seafood segment amounts to 1.2 kg in 2020.

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Info

Average Volume per Capita:

The "Average Volume per Capita" box shows the average volume of the selected market (market segment, region) per person for each year.

A definition and detailed explanation of the displayed markets can be found here.
×

Price per Unit

in the Processed Fish & Seafood market
in CN¥

Reading Support
The average price per unit in the Processed Fish & Seafood segment amounts to CN¥85.48 in 2020.

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Info

Price per Unit:

The "Price per Unit" box shows the average retail value per unit in the selected market (market segment, region) in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
×

Global Comparison - Revenue

in the Processed Fish & Seafood market
in million CN¥

Reading Support
With a market volume of CN¥183,664m in 2020, most revenue is generated in China.

Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
×

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Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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2023

CAGR(2015-2023)

Population in m

Number of individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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0-4 years in m

Number of individuals (age 0-4) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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5-9 years in m

Number of individuals (age 5-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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10-14 years in m

Number of individuals (age 10-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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15-19 years in m

Number of individuals (age 15-19) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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20-24 years in m

Number of individuals (age 20-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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25-29 years in m

Number of individuals (age 25-29) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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30-34 years in m

Number of individuals (age 30-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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35-39 years in m

Number of individuals (age 35-39) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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40-44 years in m

Number of individuals (age 40-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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45-49 years in m

Number of individuals (age 45-49) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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50-54 years in m

Number of individuals (age 50-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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55-59 years in m

Number of individuals (age 55-59) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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60-64 years in m

Number of individuals (age 60-64) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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65-69 years in m

Number of individuals (age 65-69) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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70-74 years in m

Number of individuals (age 70-74) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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75-79 years in m

Number of individuals (age 75-79) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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80-84 years in m

Number of individuals (age 80-84) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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85-89 years in m

Number of individuals (age 85-89) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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90-94 years in m

Number of individuals (age 90-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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95-99 years in m

Number of individuals (age 95-99) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

0.0

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0.0

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100+ years in m

Number of individuals (age 100+) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Business cycle

Click arrow to expand

GDP deflator

The GDP deflator is derived by dividing current price GDP by constant price GDP and is considered to be an alternate measure of inflation. Data are expressed in the base year of each country's national accounts. | Source: Statista, based on IMF

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Consumer confidence

The indicator shows as a result of surveys the difference between positive and negative answers of consumers regarding their economic situation and plans for major purchases in the form of an index that has the long term trend (=100) as its basis. | Source: Statista, based on OECD

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Business confidence

The indicator shows as a result of surveys the assessment of businesses regarding their current and future production, orders and stocks in the form of an index that has the long term trend (=100) as its basis. | Source: Statista, based on OECD

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Unemployment rate in %

The indicator shows the share of unemployed people in the selected region, defined as persons without work that seek employment, as a percentage of the total labor force. The data is based on national estimates. The definitions of labor force and unemployment differ by country. | Source: Statista, based on IMF WEOD, World Bank and ILO

0.0

0.0

0.0

0.0

0.0

00.0

0.0

0.0

0.0

Domestic credit (% of GDP) in %

The indicator shows the share of all domestic credit of the total gross domestic product (GDP) in the region. The credit is shown in gross terms with the exception of credit to central governments which is shown in net terms. High levels of indebtedness can indicate the formation of a bubble that can cause an economic downturn. | Source: Statista, based on World Bank

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000.0

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000.0

000.0

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000.0

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Government gross debt (% of GDP) in %

Goverment gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. | Source: Statista, based on IMF WEOD

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000.00

000.00

000.00

000.00

000.00

000.00

000.00

000.00

Household income

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Income share of top 20% in %

Share of income that accrues to the income group of the highest 20% | Source: Statista, based on World Bank

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00

00

00

00

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00

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00

Income share of second 20% in %

Share of income that accrues to the income group of the second 20% | Source: Statista, based on World Bank

00

00

00

00

00

00

00

00

00

Income share of third 20% in %

Share of income that accrues to the income group of the third 20% | Source: Statista, based on World Bank

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00

00

00

00

00

00

00

00

Income share of fourth 20% in %

Share of income that accrues to the income group of the fourth 20% | Source: Statista, based on World Bank

0

0

0

0

0

0

0

0

0

Income share of lowest 20% in %

Share of income that accrues to the income group of the lowest 20% | Source: Statista, based on World Bank

0

0

0

0

0

0

0

0

0

Gini index

The Gini index measures the income distribution among individuals or households within an economy on a scale from 0 to 100. "0" would mean a perfectly equal distribution (everyone has the same income) while "100" would mean perfect inequality (one person gets all income). | Source: Statista, based on World Bank

00

00

00

00

00

00

00

00

00

Consumer spending (current) in CN¥

Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

000,000

000,000

000,000

000,000

000,000

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000,000

000,000

000,000

Foodstuffs, beverages in CN¥

Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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00,000

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Alcohol, tobacco in CN¥

Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Clothing, footwear in CN¥

Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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0,000

Housing in CN¥

Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Household in CN¥

Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Health in CN¥

Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Transport in CN¥

Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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00,000

Communication in CN¥

Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

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0,000

0,000

0,000

0,000

0,000

Recreation, culture in CN¥

Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Education in CN¥

Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

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0,000

0,000

0,000

0,000

Restaurants, hotels in CN¥

Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Other in CN¥

Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

00,000

00,000

00,000

00,000

00,000

00,000

00,000

00,000

00,000

Consumer price index (CPI)

Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD

00.0

00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Foodstuffs, beverages

Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Alcohol, tobacco

Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

00.0

00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Clothing, footwear

Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

000.0

000.0

000.0

000.0

00.0

00.0

00.0

00.0

000.0

Housing

Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

00.0

00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Household

Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

00.0

000.0

000.0

Health

Consumer price index for health. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

00.0

00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Transport

Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

000.0

00.0

000.0

000.0

000.0

000.0

00.0

00.0

00.0

Communication

Consumer price index for communication. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

000.0

000.0

000.0

00.0

00.0

00.0

00.0

00.0

00.0

Recreation, culture

Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

00.0

00.0

000.0

00.0

000.0

00.0

00.0

000.0

000.0

Education

Consumer price index for education. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

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00.0

000.0

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000.0

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Restaurants, hotels

Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices

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00.0

000.0

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000.0

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Other

Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: Statista, based on IMF, national statistical offices

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00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Price level (U.S.=100)

Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

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000.0

000.0

000.0

000.0

000.0

000.0

Foodstuffs, beverages

Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Alcohol, tobacco

Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Clothing, footwear

Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Housing

Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Household

Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Health

Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Transport

Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Communication

Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Recreation, culture

Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Education

Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Restaurants, hotels

Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Other

Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Price of a Big Mac in CN¥

The price of a Big Mac at McDonald's has been introduced by the Economist in 1986 as an illustrative example to compare price levels between countries. The prices have been converted from Local Currency Units (LCU) using the average exchange rate of 2017. | Source: Statista, based on Economist

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

Tax rates

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Corporate tax rate in %

Displayed is the typical rate for corporate income. Due to local taxes, the overall tax rate may vary within the country. | Source: Statista, based on KPMG

00

00

00

00

00

00

00

00

00

Personal income tax rate in %

Displayed is the top marginal tax rate. Due to local taxes, the overall tax rate may vary within the country. | Source: Statista, based on KPMG

00

00

00

00

00

00

00

00

00

Health

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Health care expenditure (% of GDP) in %

GDP share of total health care spendings (public and private) in the selected region | Source: Statista, based on World Bank, WHO

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Physicians per 1,000 capita

Number of physicians per 1,000 inhabitants in the selected region | Source: Statista, based on World Bank

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

Hospital beds per 1,000 capita

Number of hospital beds per 1000 inhabitants in the selected region | Source: Statista, based on World Bank, WHO

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Overweight rate in %

Overweight rate among adult population (with a BMI of 25 or higher) | Source: Statista, based on WHO

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Alcohol consumption in l alc.

Per-capita consumption of alcohol (all types) in litres of pure alcohol in the selected region | Source: Statista, based on WHO

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Male smoking rate in %

Share of men in the selected region (15+ years) who smoke at least occasionally | Source: Statista, based on World Bank, WHO

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Female smoking rate in %

Share of women in the selected region (15+ years) who smoke at least occasionally | Source: Statista, based on World Bank, WHO

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Life expectancy in yrs.

Number of years a newborn in the selected region can expect to live if prevailing patterns of mortality were to stay the same throughout its life. | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

International trade

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Trade (% of GDP) in %

Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD

00.0

00.0

00.0

00.0

00.0

00.0

00.0

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00.0

Current account balance (% of GDP) in %

The current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Here it is shown as a percentage of total gross domestic product (GDP). | Source: Statista, based on World Bank, IMF, OECD

-0.0

-0.0

-0.0

-0.0

-0.0

-0.0

-0.0

-0.0

-0.0

Terms of trade

Net barter terms of trade are calculated as the percentage ratio of the export unit value to the import unit value, measured relative to the base year 2000. This index measures how many goods and services a country had to export to finance its imports. An increase would mean that the country benefited from improved terms of trade that allow it to purchase more import goods for the same amount of exports. Likewise, a decline would indicate a deterioration of terms of trade that would put pressure on the country to export more goods to sustain the level of imports. Terms of trade are especially important for developing and emerging countries that are dependent on commodity exports whose value swings with the world market for these goods. | Source: Statista, based on World Bank

000

000

000

000

000

000

000

000

000

Container port traffic in m TEU

Sum of on- and offloading of containers (TEU: 20 foot equivalent units) to marine vessels in the selected region | Source: Statista, based on UNCTAD, World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Food exports / merchandise exports in %

Percentage share of all food exports (sections 0, 1, 4 and 22 in the Standard International Trade Classification - SITC) of all merchandise exports in the selected region | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Food imports / merchandise exports in %

Percentage share of all food imports (sections 0, 1, 4 and 22 in the Standard International Trade Classification - SITC) of all merchandise imports in the selected region | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Finance

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Banking penetration in %

Population share using a bank account | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Credit card penetration in %

Percentage of the total population who own at least one credit card | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Debit card penetration in %

Percentage of the total population who own at least one debit card | Source: Statista, based on World Bank

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Payment transactions at terminals in bn

Number of non-cash transactions at point-of-sale terminals (EFTPOS) located in the selected region | Source: Statista, Bank for International Settlements

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Online banking penetration in %

Estimated population share that uses the internet for accessing banking services | Source: Statista, based on World Bank and Eurostat

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Bank branches, per 100,000 adults

Number of physical retail locations of commercial banks per 100,000 adults in the selected region | Source: Statista, based on IMF, World Bank

00

00

00

00

00

00

00

00

00

ATMs / 100,000 adults

Number of ATMs, Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. | Source: Statista, based on World Bank

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Savings rate (% of GDP) in %

The savings rate shown here refers to the gross national saving that is composed of gross disposable incomes less final consumption expenditure after taking account of an adjustment for pension funds. | Source: Statista, based on IMF WEOD

00

00

00

00

00

00

00

00

00

Households in m

The indicator shows the total number of private households in the selected region. Households denote residential communties of people living and keeping house together. Business facilities as well as institutional housholds (like unversity dormitories or retire homes) are not counted as households. | Source: Statista, based on national and international statistical offices

The average exchange rate of 1 unit of local currency (local currency unit: LCU) in the respective year for US-Dollar | Source: Statista, based on IMF, UN

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

Source: Statista, May 2020

Source: Statista, May 2020, based on IMF, World Bank, UN and Eurostat

Methodology

The Processed Fish & Seafood market is built on resources from the Statista platform as well as on in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. We evaluate the status quo of the market, monitor trends, and create an independent forecast regarding market developments of the global Processed Fish & Seafood industry.

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